2026
Sparse Gradient Compression for Fine-Tuning Large Language Models
ICASSP 2026poster
Fine-tuning large language models (LLMs) for downstream tasks has become increasingly crucial due to their widespread use and the growing availability of open-source models. However, the high memory costs associated with fine-tuning remain a significant challenge, especially as models increase in si…